jpeg-matlab

这是基于图论的图像分割源代码，效果很好，欢迎下载.(This is based on graph theory image segmentation source code, works well, welcome to download.)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)

RGB 颜色选择器，可以自由选择颜色，也可以用吸管吸取屏幕颜色色值，便于程序员们开发(RGB color picker, you can choose colors freely, or you can suck the color value of the screen with a straw, which is easy for programmers to develop)

说明：  基于小波变换的数字水印，包含的嵌入与提取代码，原理等(Digital watermarking based on wavelet transform, including embedded and extracted code, principle, etc)

检测前跟踪 粒子滤波 概率假设密度 高斯混合粒子 平滑(Pre-test tracking particle filter probability hypothesis density Gaussian mixture particle smoothing)

用块匹配法求超分辨率复原中的运动矩阵!提出了一种快速，半像素的三步法！(Block-matching method using super-resolution recovery of movement in the matrix! Presents a fast, three-step half-pixel!)

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

pca 特征提取的源代码，对人脸识别很有帮助，(pca feature extraction of the source code, useful for face recognition,)

程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

全屏显示窗体。通过快捷键F11实现程序全屏显示的效果。(Full-screen display of the form. Through the shortcut key F11 to achieve the effect of full screen display.)